st: Hierarchical CFA problem

I'm working with the hierarchical CFA model of cognitive ability
described on p199 of Kline "Principles and Practice of Structural
Equation Modeling", 2nd edition - or p249 in the 3rd edition. I have
reproduced summary statistics so that people who don't have access to
the data will be able to follow:

However, it fails to converge. It does however, converge if the G -> L2
path is constrained to 1 instead of the G -> L1 path

I am trying to figure out what the problem is. L1 is the largest loading
on G , but using the iterate() option I don't see what the problem is.

I have successfully fitted the model using R, with the lavaan package,
and the model with the G -> L2 path constrained has identical output in
Stata and R, so I believe this must be a issue with Stata, but I do not
know how to track the problem down. FWIW, here is the output from R for
the model which doesn't converge in Stata: